Don't Run With Scissors: Young Children's Knowledge of Home Safety Rules
Bibliographic record
Abstract
OBJECTIVE: To examine 4- to 6-year-old children's knowledge of their parents' home safety rules and to identify predictors of children's home injuries. METHODS: Within the context of an interview, parents completed a home safety questionnaire in which they specified home safety rules, rated their child's compliance with each rule, explained not having rules, reported on maternal supervision, and reported on the frequency of their child's injuries. We evaluated children's knowledge of home safety rules by having them play a home safety game designed for this study. RESULTS: Children spontaneously recalled only about half of their parents' home safety rules. Prompting resulted in their recognition of about 40% more rules. However, children's knowledge scores did not predict the frequency of their injuries. The best predictors of children's injuries were children's compliance with home safety rules and extent of parental supervision. CONCLUSIONS: These findings suggest that interventions to promote young children's safety knowledge will not likely reduce childhood injuries unless children consistently comply with these rules or parents supervise children to ensure compliance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".